MVFT-JI trains a Q-Former VLM with two MLLM-generated retrieval tasks and fuses VLM and MLLM similarities at inference, achieving state-of-the-art zero-shot composed image retrieval on three benchmarks.
Lim, and Hung Keng Pung
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MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval
MVFT-JI trains a Q-Former VLM with two MLLM-generated retrieval tasks and fuses VLM and MLLM similarities at inference, achieving state-of-the-art zero-shot composed image retrieval on three benchmarks.